| CCTEST: Testing and Repairing Code Completion Systems Z Li, C Wang, Z Liu, H Wang, S Wang, C Gao arXiv preprint arXiv:2208.08289, 2022 | 60 | 2022 |
| Static inference meets deep learning: a hybrid type inference approach for python Y Peng, C Gao, Z Li, B Gao, D Lo, Q Zhang, M Lyu Proceedings of the 44th International Conference on Software Engineering …, 2022 | 60 | 2022 |
| Cradle: Deep code retrieval based on semantic dependency learning W Gu, Z Li, C Gao, C Wang, H Zhang, Z Xu, MR Lyu Neural Networks 141, 385-394, 2021 | 49 | 2021 |
| On Extracting Specialized Code Abilities from Large Language Models: A Feasibility Study Z Li, C Wang, P Ma, C Liu, S Wang, D Wu, C Gao, Y Liu arXiv preprint arXiv:2303.03012, 2023 | 45* | 2023 |
| Protecting intellectual property of large language model-based code generation apis via watermarks Z Li, C Wang, S Wang, C Gao Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications …, 2023 | 44 | 2023 |
| Split and merge: Aligning position biases in large language model based evaluators Z Li, C Wang, P Ma, D Wu, S Wang, C Gao, Y Liu arXiv preprint arXiv:2310.01432, 2023 | 31 | 2023 |
| Unleashing the power of compiler intermediate representation to enhance neural program embeddings Z Li, P Ma, H Wang, S Wang, Q Tang, S Nie, S Wu Proceedings of the 44th International Conference on Software Engineering …, 2022 | 31 | 2022 |
| Enriching query semantics for code search with reinforcement learning C Wang, Z Nong, C Gao, Z Li, J Zeng, Z Xing, Y Liu Neural Networks 145, 22-32, 2022 | 28 | 2022 |
| Exploring missed optimizations in webassembly optimizers Z Liu, D Xiao, Z Li, S Wang, W Meng Proceedings of the 32nd ACM SIGSOFT International Symposium on Software …, 2023 | 20 | 2023 |
| Cctest: Testing and repairing code completion systems. In 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE) Z Li, C Wang, Z Liu, H Wang, D Chen, S Wang, C Gao IEEE, 2023 | 18 | 2023 |
| Benchmarking and explaining large language model-based code generation: A causality-centric approach Z Ji, P Ma, Z Li, S Wang arXiv preprint arXiv:2310.06680, 2023 | 17 | 2023 |
| Instructta: Instruction-tuned targeted attack for large vision-language models X Wang, Z Ji, P Ma, Z Li, S Wang arXiv preprint arXiv:2312.01886, 2023 | 16 | 2023 |
| Refining decompiled c code with large language models WK Wong, H Wang, Z Li, Z Liu, S Wang, Q Tang, S Nie, S Wu arXiv preprint arXiv:2310.06530, 2023 | 15 | 2023 |
| Reef: A framework for collecting real-world vulnerabilities and fixes C Wang, Z Li, Y Pena, S Gao, S Chen, S Wang, C Gao, MR Lyu 2023 38th IEEE/ACM International Conference on Automated Software …, 2023 | 11 | 2023 |
| Oops, Did I Just Say That? P Ma, Z Li, A Sun, S Wang Testing and Repairing Unethical Suggestions of Large Language Models with …, 2023 | 10 | 2023 |
| " Oops, Did I Just Say That?" Testing and Repairing Unethical Suggestions of Large Language Models with Suggest-Critique-Reflect Process P Ma, Z Li, A Sun, S Wang arXiv preprint arXiv:2305.02626, 2023 | 9 | 2023 |
| Hityper: A hybrid static type inference framework with neural prediction Y Peng, Z Li, C Gao, B Gao, D Lo, M Lyu arXiv preprint arXiv 2105, 2021 | 9 | 2021 |
| Exploring Multi-Lingual Bias of Large Code Models in Code Generation C Wang, Z Li, C Gao, W Wang, T Peng, H Huang, Y Deng, S Wang, ... arXiv preprint arXiv:2404.19368, 2024 | 8 | 2024 |
| NAVRepair: Node-type Aware C/C++ Code Vulnerability Repair R Wang, Z Li, C Wang, Y Xiao, C Gao arXiv preprint arXiv:2405.04994, 2024 | 5 | 2024 |
| BinAug: Enhancing Binary Similarity Analysis with Low-Cost Input Repairing WK Wong, H Wang, Z Li, S Wang Proceedings of the 46th IEEE/ACM International Conference on Software …, 2024 | 5 | 2024 |
